Postgres MCP Pro - Alternatives & Competitors

Ranked by Relevance

• 1
  

  PGMCP

  Natural language PostgreSQL interface via the Model Context Protocol.

  PGMCP enables seamless interaction with any PostgreSQL database through natural language queries, translating user intent into structured SQL results. It acts as a Model Context Protocol (MCP) server, connecting AI assistants and MCP-compatible clients to databases with features like streaming, robust error handling, and optional AI-powered SQL generation. The tool ensures secure, read-only access to existing databases using HTTP/MCP protocol. Compatibility includes tools such as Cursor, Claude Desktop, and VS Code extensions.

  499 53 MCP
• 2
  

  Multi Database MCP Server

  A unified server for structured, multi-database access via the Model Context Protocol.

  Multi Database MCP Server provides a standardized interface for AI assistants to access and manage multiple databases concurrently through the Model Context Protocol. It supports automatic tool generation for SQL queries, transactions, schema exploration, and performance analysis for each connected database. Built using Clean Architecture, it is fully compatible with OpenAI Agents SDK, enabling seamless integration. The platform simplifies configuration and interaction with MySQL and PostgreSQL databases in a robust, modular environment.

  304 49 MCP
• 3
  

  Multi-Database MCP Server (by Legion AI)

  Unified multi-database access and AI interaction server with MCP integration.

  Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

  76 19 MCP
• 4
  

  MCP 数据库工具 (MCP Database Utilities)

  A secure bridge enabling AI systems safe, read-only access to multiple databases via unified configuration.

  MCP Database Utilities provides a secure, standardized service for AI systems to access and analyze databases like SQLite, MySQL, and PostgreSQL using a unified YAML-based configuration. It enforces strict read-only operations, local processing, and credential protection to ensure data privacy and integrity. The tool is suitable for entities focused on data privacy and minimizes risks by isolating database connections and masking sensitive data. Designed for easy integration, it supports multiple installation options and advanced capabilities such as schema analysis and table browsing.

  85 9 MCP
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  mcp_mysql_server_pro

  Advanced MySQL server tool with Model Context Protocol support and database health analysis.

  mcp_mysql_server_pro enables seamless MySQL database operations and analysis, supporting all Model Context Protocol (MCP) transfer modes including STDIO, SSE, and Streamable HTTP. It provides flexible permission control, advanced anomaly detection, and health status monitoring, with easy extensibility via custom tools. OAuth2.0 authentication is supported, and users can execute multi-statement SQL queries, perform index and lock analysis, and leverage prompt template invocation.

  273 35 MCP
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  XiYan MCP Server

  A server enabling natural language queries to SQL databases via the Model Context Protocol.

  XiYan MCP Server is a Model Context Protocol (MCP) compliant server that allows users to query SQL databases such as MySQL and PostgreSQL using natural language. It leverages the XiYanSQL model, providing state-of-the-art text-to-SQL translation and supports both general LLMs and local deployment for enhanced security. The server lists available database tables as resources and can read table contents, making it simple to integrate with different applications.

  218 43 MCP
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  MCP Toolbox for Databases

  Open source MCP server for secure and efficient Gen AI database integrations.

  MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.

  11,412 988 MCP
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  SkySQL MCP Server

  Serverless MariaDB database management with AI-powered agents via Model Context Protocol.

  SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

  2 3 MCP
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  TeslaMate MCP Server

  Query your TeslaMate data using the Model Context Protocol

  TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

  106 14 MCP
• 10
  

  Neon MCP Server

  Natural language access to Neon Postgres databases via the Model Context Protocol.

  Neon MCP Server provides a bridge between natural language requests and Neon Postgres databases through the Model Context Protocol (MCP). It enables users to manage database operations such as creating projects, running queries, and handling migrations by translating conversational commands into API calls. Designed for both local and remote setups, it enhances database accessibility for users with varying technical backgrounds. It prioritizes security, recommending use in local development and IDE integrations.

  513 88 MCP
• 11
  

  greptimedb-mcp-server

  A Model Context Protocol (MCP) server for secure, structured AI access to GreptimeDB.

  greptimedb-mcp-server implements a Model Context Protocol (MCP) server for GreptimeDB, enabling AI assistants to securely explore and analyze database contents. It provides controlled operations such as listing tables, reading data, and executing SQL queries, ensuring responsible access. The server offers integration with Claude Desktop and supports prompt management for structured AI interactions.

  23 11 MCP
• 12
  

  MCP libSQL by xexr

  Secure, protocol-compliant libSQL database server for MCP-enabled clients.

  MCP libSQL by xexr provides a Model Context Protocol (MCP) server designed for secure database access and management via libSQL. It enables database operations—such as querying, table management, and schema inspection—through standardized MCP tools, ensuring compatibility with clients like Claude Desktop and Cursor. The project emphasizes robust security validation, audit logging, and comprehensive error handling. Users benefit from production-ready deployment, extensive test coverage, and streamlined integration with MCP-compatible platforms.

  16 3 MCP
• 13
  

  mcp-memgraph

  Expose Memgraph database features via the Model Context Protocol.

  mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

  52 5 MCP
• 14
  

  Snowflake MCP Server

  MCP server enabling secure and structured Snowflake database interaction with AI tools.

  Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

  170 75 MCP
• 15
  

  PostHog MCP

  Easily deploy and manage Model Context Protocol servers across multiple platforms.

  PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

  138 23 MCP
• 16
  

  Prisma MCP

  Bridging LLMs and databases through standardized API protocols

  Prisma MCP provides local and remote MCP servers that enable large language models (LLMs) to access and manage Prisma Postgres databases using the Model Context Protocol. It exposes a suite of structured tools for database operations like creation, backup, recovery, introspection, and executing SQL queries. The platform enables secure, permissioned interactions and integrates seamlessly with development workflows and AI platforms.

  32 2 MCP
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  MCP AI SOC Sher

  AI-driven SOC Text2SQL framework with security threat analysis

  MCP AI SOC Sher is an advanced AI-powered platform that converts natural language prompts into optimized SQL queries using a Model Context Protocol-based server setup. It supports Text2SQL translation, real-time query processing, and security threat analysis across multiple database types. The tool offers multiple interfaces including STDIO, SSE, and REST API for flexible integration, and features in-depth SOC (Security Operations Center) monitoring capabilities. Built-in security features include SQL injection detection, sensitive table monitoring, and configurable security levels.

  5 2 MCP
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  VictoriaMetrics MCP Server

  Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

  VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

  87 11 MCP
• 19
  

  MXCP

  Enterprise-Grade Model Context Protocol Framework for AI Applications

  MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.

  49 6 MCP
• 20
  

  mcp-server-sql-analyzer

  MCP server for SQL analysis, linting, and dialect conversion.

  Provides standardized MCP server capabilities for analyzing, linting, and converting SQL queries across multiple dialects using SQLGlot. Supports syntactic validation, dialect transpilation, extraction of table and column references, and offers tools for understanding query structures. Facilitates seamless workflow integration with AI assistants through a set of MCP tools.

  26 5 MCP
• 21
  

  mcp-trino

  A fast Go-based MCP server for seamless Trino SQL access.

  mcp-trino is a Model Context Protocol (MCP) server implemented in Go, designed for high-performance integration with Trino's distributed SQL engine. It enables AI assistants and clients to issue SQL queries, discover catalogs, schemas, and tables, and fetch schema information through standardized MCP tools over HTTP and STDIO transports. The solution supports optional OAuth2 authentication, connects to a variety of data sources through Trino, and is available as a Docker container.

  79 29 MCP
• 22
  

  Zaturn

  Your Co-Pilot For Data Analytics & Business Insights

  Zaturn enables AI models to interact with multiple data sources and generate analytics without requiring users to write SQL or Python code. It supports SQL databases and file formats, providing visual and tabular summaries and offering an interactive web interface similar to Jupyter Notebook. Zaturn can function both as a standalone platform or as a Model Context Protocol (MCP) compliant tool, allowing seamless context management for AI-driven data analysis.

  66 9 MCP
• 23
  

  MCP Server ODBC via SQLAlchemy

  A lightweight FastAPI server enabling model context protocol access to ODBC-compatible databases via SQLAlchemy.

  MCP Server ODBC via SQLAlchemy provides a lightweight, FastAPI-based server that implements the Model Context Protocol (MCP) for accessing ODBC-compatible databases. It bridges AI tools and database systems by exposing standardized endpoints for fetching schema, tables, table descriptions, and executing queries or stored procedures. With support for Virtuoso, PostgreSQL, MySQL, and SQLite, it allows seamless, structured, and context-aware database access for context-driven applications.

  19 8 MCP
• 24
  

  Hydrolix MCP Server

  MCP server for secure, efficient SQL access to Hydrolix clusters.

  Hydrolix MCP Server provides a Model Context Protocol (MCP) interface for executing SQL queries, listing databases, and listing tables on Hydrolix clusters. It ensures safe, read-only data access and includes a standardized health-check endpoint. The server integrates easily with various MCP-compatible clients, supporting multiple authentication methods using either credentials or service account tokens.

  5 8 MCP
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  OpenLink MCP Server for JDBC

  A lightweight Java-based MCP server enabling model context protocol integration with any JDBC-compatible database.

  OpenLink MCP Server for JDBC provides a Java-based implementation of the Model Context Protocol (MCP), facilitating structured, context-aware interactions with relational databases via JDBC. It supports a variety of database operations, including schema and table discovery, table element descriptions, SQL query execution in multiple formats, and Virtuoso-specific features. Easily configurable and designed for integration with tools like Claude Desktop, it enables model-context-aware applications to access and manage database content effectively.

  8 7 MCP
• 26
  

  BigQuery MCP Server

  Enables LLMs to securely converse with BigQuery data using natural language.

  BigQuery MCP Server acts as a bridge between large language models and Google BigQuery, allowing natural language interactions with database data through the Model Context Protocol. Designed for integration with Claude Desktop, it securely processes user queries and translates them into SQL, streamlining data access and minimizing manual query writing. The tool ensures safe and read-only data operations, supports both tables and materialized views, and labels resource types for easier exploration. Installation is possible via Smithery or manual setup, with a focus on developer-friendliness and robust authentication options.

  129 31 MCP
• 27
  

  @f4ww4z/mcp-mysql-server

  Standardized MySQL operations server for Model Context Protocol environments.

  Provides a Model Context Protocol server that allows AI models to interact with MySQL databases through a standardized interface. Supports secure connection, prepared statements, and robust error handling. Enables models to connect, query, execute statements, list tables, and describe schema with simple commands. Designed for seamless integration with tools like Smithery and evaluation frameworks.

  130 27 MCP
• 28
  

  MySQL MCP Server

  Secure MCP interface for MySQL database interaction with AI applications.

  MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.

  980 203 MCP
• 29
  

  Higress OPS MCP Server

  Model Context Protocol server and client for fully managed Higress configuration.

  Higress OPS MCP Server delivers a Model Context Protocol-compliant server and client for centralized configuration and management of Higress. It leverages a flexible tool-based architecture and offers seamless integration with LangGraph and LangChain MCP Adapters, streamlining agent-driven workflows for system operations. The package allows developers to define, extend, and register custom tools, supporting secure interaction with the Higress Console API. Sensitive actions can be flagged for human confirmation to enhance operational safety.

  22 8 MCP
• 30
  

  Signoz MCP Server

  Connect SigNoz observability data to AI assistants via the Model Context Protocol.

  Signoz MCP Server acts as a bridge between SigNoz observability platforms and AI assistants by implementing the Model Context Protocol (MCP). It exposes a suite of tools for querying dashboard information, fetching panel and metrics data, executing custom queries, and retrieving traces or logs from SigNoz. The tool supports integration with popular AI assistants, flexible deployment options (Docker, local virtual environments), and secure configuration via environment variables or YAML files. The server is designed to enable standardized programmatic context retrieval for enhancing AI/LLM workflows.

  11 1 MCP
• 31
  

  PMCP

  Golang Model Context Protocol server for natural language Prometheus queries

  PMCP implements a Model Context Protocol (MCP) server in Go, enabling natural language access and manipulation of Prometheus metrics. It maintains full consistency with the Prometheus HTTP API and supports a robust, type-safe interface for seamless integration with MCP-compatible clients. The server offers complete Prometheus API coverage and supports multiple transport methods, including HTTP and Server-Sent Events. Its modular architecture is designed for performance, extensibility, and effective error handling.

  3 1 MCP
• 32
  

  Snowflake Cortex AI Model Context Protocol (MCP) Server

  Tooling and orchestration for Snowflake Cortex AI via Model Context Protocol.

  Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.

  176 60 MCP
• 33
  

  go-mcp-mysql

  Zero-burden Model Context Protocol (MCP) server for MySQL automation.

  go-mcp-mysql is a ready-to-use server that implements the Model Context Protocol (MCP) for seamless interaction and automation with MySQL databases. Written in Go, it enables users to perform CRUD operations and check query plans without requiring a Node.js or Python environment. The server supports both command-line and DSN configurations, includes a read-only mode, and features a set of tools for managing schema and data. It is designed for low-overhead deployment and flexible MySQL automation workflows.

  46 9 MCP
• 34
  

  VictoriaLogs MCP Server

  MCP server enabling advanced read-only access and observability for VictoriaLogs

  VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

  30 7 MCP
• 35
  

  MCP MongoDB Server

  A Model Context Protocol server for LLM interaction with MongoDB databases.

  MCP MongoDB Server enables large language models to interact with MongoDB databases through the standardized Model Context Protocol interface. It provides schema inspection, document querying, aggregation, and write operations with intelligent ObjectId handling and flexible read-only configurations. Designed for seamless integration with tools like Claude Desktop, it offers collection completions, schema inference, and robust support for both development and production environments.

  267 50 MCP
• 36
  

  Nile MCP Server

  A Model Context Protocol (MCP) server for managing databases on the Nile platform through standardized interfaces.

  Nile MCP Server implements the Model Context Protocol to enable seamless integration between LLM applications and the Nile database platform. It provides standardized APIs for database and credential management, SQL execution, and region discovery. Written in TypeScript, the server focuses on type safety, comprehensive error handling, and robust input validation. It supports easy installation and integration with Claude Desktop for advanced AI workflows.

  16 9 MCP
• 37
  

  MCP Alchemy

  Directly connect Claude Desktop to SQL databases for expert AI-powered analytics.

  MCP Alchemy enables seamless integration between Claude Desktop and a wide range of SQL databases through the Model Context Protocol. It empowers Claude to explore database structure, write and validate SQL queries, analyze relationships between tables, and process large datasets for reporting. The tool is compatible with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica, and any SQLAlchemy-compatible database.

  358 54 MCP
• 38
  

  Databricks MCP Server

  Expose Databricks data and jobs securely with Model Context Protocol for LLMs.

  Databricks MCP Server implements the Model Context Protocol (MCP) to provide a bridge between Databricks APIs and large language models. It enables LLMs to run SQL queries, list Databricks jobs, retrieve job statuses, and fetch detailed job information via a standardized MCP interface. The server handles authentication, secure environment configuration, and provides accessible endpoints for interaction with Databricks workspaces.

  42 24 MCP
• 39
  

  Panther MCP Server

  Natural language and IDE-powered server for detection, alert triage, and data lake querying in Panther.

  Panther MCP Server enables interactive management of security alerts, data lake queries, and scheduled reporting using natural language and integrated tools. It allows users to write and tune detections from an IDE, triage and comment on alerts, and execute advanced queries against security logs. The system provides a wide range of operations including alert investigation, bulk updates, AI-powered triage insight generation, and data lake schema exploration. Integration with the Model Context Protocol ensures standardized and extensible interactions for security operations.

  32 14 MCP
• 40
  

  Prometheus MCP Server

  Access and analyze Prometheus metrics through standardized MCP interfaces.

  Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

  282 64 MCP
• 41
  

  BigQuery MCP Server

  MCP server enabling LLMs to access and interact with BigQuery databases.

  BigQuery MCP Server provides a Model Context Protocol-compliant interface that allows large language models to inspect database schemas and execute SQL queries on BigQuery. It exposes tools for executing queries, listing tables, and describing table schemas, supporting both CLI and environment-based configuration. The server integrates with Claude Desktop and can be easily installed via Smithery, facilitating seamless interaction between LLMs and BigQuery data sources.

  120 34 MCP
• 42
  

  InfluxDB MCP Server

  Model Context Protocol server for seamless InfluxDB 3 integration and management.

  InfluxDB MCP Server provides a Model Context Protocol (MCP) interface for interacting with InfluxDB version 3 across various deployment types, including Core, Enterprise, Cloud Dedicated, and Cloud Serverless. It offers a suite of tools and resources to perform operations such as writing and querying data, managing databases, tokens, and monitoring health status. Designed for use with MCP clients, it supports context-aware interactions and standardizes access to InfluxDB resources. User authentication, database management, and operational assistance are integrated for robust database workflows.

  21 7 MCP
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  mcp-gopls

  MCP server bridging Go's LSP and AI assistants for advanced code analysis.

  Implements a Model Context Protocol (MCP) server enabling AI assistants to interact with the Go Language Server Protocol (LSP) for analyzing and understanding Go code. Provides tools for navigation, diagnostics, references, hover info, completion suggestions, and code coverage. Integrates with 'gopls' to deliver precise code intelligence tailored for AI-driven workflows. Designed for seamless integration with platforms that support MCP, including AI development assistants.

  48 5 MCP
• 44
  

  PiloTY

  AI Pilot for PTY Operations via the Model Context Protocol

  PiloTY is an MCP server that enables AI agents to control interactive terminals as if they were human users. It provides stateful, context-preserving terminal sessions that support interactive programs, SSH connections, and background process management. The system allows secure integration with AI platforms like Claude Code or Claude Desktop to translate natural language instructions into complex terminal workflows. Designed for extensibility and real-world development scenarios, PiloTY empowers agents to manage remote environments, debug interactively, and automate multi-step operations.

  12 3 MCP
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  Neo4j MCP Clients & Servers

  Seamless natural language and knowledge graph integration for Neo4j via Model Context Protocol.

  Neo4j MCP Clients & Servers provide standardized interfaces that enable large language models and AI assistants to interact with Neo4j databases and cloud services using natural language through the Model Context Protocol (MCP). It includes multiple servers for translating natural language to Cypher queries, managing graph memory, handling Neo4j Aura cloud services, and supporting interactive data modeling. Multiple transport modes such as STDIO, HTTP, and SSE offer flexibility for various deployments including cloud and local environments.

  797 209 MCP
• 46
  

  OpenLink MCP Server for ODBC

  MCP-compatible ODBC server enabling LLMs to access diverse databases.

  OpenLink MCP Server for ODBC provides a TypeScript-based server that implements the Model Context Protocol (MCP), facilitating seamless access for Large Language Models to ODBC-accessible data sources. Built on top of node-odbc, it enables actions such as schema and table discovery, SQL query execution, and database introspection. The server supports a wide range of ODBC drivers and robust environment configuration, making it adaptable to multiple database backends and use cases. By leveraging the MCP standard, it simplifies and standardizes how LLMs interface with structured data via ODBC.

  9 5 MCP
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  VikingDB MCP Server

  MCP server for managing and searching VikingDB vector databases.

  VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

  3 5 MCP
• 48
  

  Azure Data Explorer MCP Server

  Enables AI assistants to query and analyze Azure Data Explorer using the Model Context Protocol.

  Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

  49 23 MCP
• 49
  

  Trino MCP Server

  Expose Trino tables and querying via the Model Context Protocol.

  Trino MCP Server acts as an MCP-compatible interface, allowing users to query and list tables from Trino using Python. It bridges Trino's distributed SQL engine with the Model Context Protocol, exposing Trino tables as MCP resources. The server supports executing arbitrary SQL queries against Trino through a standardized protocol. It uses environment variable configuration for seamless integration and is built to interface with the broader MCP ecosystem.

  18 9 MCP
• 50
  

  Thales CipherTrust Data Security Platform CAKM MCP Server

  MCP server for unified database TDE/Encryption management via CipherTrust.

  Thales CipherTrust Data Security Platform CAKM MCP Server implements the Model Context Protocol (MCP) for managing database encryption (TDE/EKM) with CipherTrust Application Key Management. It supports both Oracle and SQL Server, providing tools for resource-based management, comprehensive auditing, and key lifecycle operations. The server enables integration with CipherTrust Manager, automates key rotation, and offers advanced detection of TDE configurations.

  2 3 MCP